Machine Learning Approach to Fact-checking in West Slavic Languages

Pavel Přibáň and Tomáš Hercig and Josef Steinberger
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019 (2019)
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Abstract

Fake news detection and closely-related fact-checking have recently attracted a lot of attention. Automatization of these tasks has been already studied for English. For other languages, only a few studies can be found (e.g. (Baly et al., 2018)), and to the best of our knowledge, no research has been conducted for West Slavic languages. In this paper, we present datasets for Czech, Polish, and Slovak. We also ran initial experiments which set a baseline for further research into this area.

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